Andreas Drexl – författare

An insight into the latest results from the world of operations research - a wide-ranging field, as is shown by the book's 24 sections, corresponding to the conference program itself. Although problems of a primarily methodological nature are discussed, the emphasis is placed firmly on practical subjects, such as reports from the fields of healthcare, environmental protection, logistics and traffic engineering. This selection also clearly illustrates the extent to which OR is spreading into and already interwoven in other scientific disciplines.

The logic of Manufactured Resource Planning (MRP II) is usually implemented in production planning and control systems and therefore has a major impact on the performance of many real production systems. Much of what practitioners complain about, such as long lead times, high in-work-process and large inventories, is due to the deficiencies of the MRP II concept. Researchers are eager to find better models and methods to improve or replace the current status. This work contains ideas on master production scheduling, material requirements planning, lot sizing, sequencing and scheduling, and production control.

The logic of Manufacturing Resource Planning (MRP II) is usually implemented in production planning and control systems and therefore has a major impact on the performance of many real production systems. Much of what practitioners complain about, i.e. long lead times, high work-in-process, and large inventories, is due to the deficiencies of the MRP II concept. Thus, researchers are eager to find better models and methods to improve or to replace the current status. This book contains new ideas on master production scheduling, material requirements planning, lot sizing, sequencing and scheduling, and production control. Management scientists, industrial engineers, operations researchers, and computer scientists have contributed to present the state-of-the-art.

Auflage: Dieses Buch entstand aus Vorlesungen zur Einführung in Operations Research (OR) für Studierende der Betriebs- und Volkswirtschaftslehre, des Wirtschaftsingenieurwesens, der Wirtschaftsinformatik und der Wirtschaftsmathematik.